Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Topology Optimization of Trusses—Random Cost Method Versus Evolutionary Algorithms
Computational Optimization and Applications
The theory of evolution strategies
The theory of evolution strategies
Evolution and Optimum Seeking: The Sixth Generation
Evolution and Optimum Seeking: The Sixth Generation
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
Modelling and Simulation in Engineering
A hybrid topology optimization methodology combining simulated annealing and SIMP
Computers and Structures
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Topology optimization is of significant importance to the design of truss- and grillage-like structures. Conventional topology optimization procedures are usually based on the ground structure approach. Starting from highly connected structures the uneconomical links are eliminated during the course of optimization. In this paper we show that, additionally, stochastic methods offer the possibility to build-up structures starting from simple initial configurations with few elements. Stochastic optimization methods (simulated annealing, evolutionary algorithms, random cost) are applied to the topology design problem on the basis of appropriate local structure variations. Results and performance comparisons are given.